Principal, Gen AI Transformation - Embedded Software & Engineering Productivity

## Company: Qualcomm Technologies, Inc. ## Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Team SPARK is leading the Generative AI transformation across CPSG, spanning embedded software, platform systems, product enablement, and engineering infrastructure. We are seeking a Principal Engineer to define and scale AI-first engineering practices that improve developer productivity, software quality, delivery velocity, and innovation. This is a high-impact technical leadership role for a hands-on, systems-minded GenAI leader who can translate emerging AI capabilities into secure, measurable, production-grade engineering workflows. You will partner across SPARK, central GenAI platform teams, and engineering teams to shape strategy, build reusable AI assets, and accelerate adoption at organizational scale. Key Responsibilities * Define and drive the GenAI transformation roadmap for engineering productivity across CPSG, with clear priorities, adoption plans, and measurable outcomes. * Lead AI-native and agentic SDLC initiatives across requirements, code understanding, code generation, code review, debugging, test automation, release readiness, and documentation. * Partner with GenAI platform and engineering teams to build reusable agents, skills, tools, plugins, MCP integrations, and governed workflow patterns. * Identify high-value embedded and software workflows, turn them into reusable capabilities, and scale adoption across teams to reduce duplication and increase leverage. * Establish secure and responsible AI practices across governance, permissions, auditability, model/tool selection, data handling, context management, and cost optimization. * Define metrics and dashboards to track AI adoption, productivity gains, workflow efficiency, quality improvements, security compliance, and business impact. * Serve as a technical thought leader, mentor, and executive-facing advisor who raises AI fluency and communicates strategy, progress, risks, and impact clearly. Impact * Accelerate CPSG’s transition from AI-assisted development to AI-native and agentic engineering workflows. * Deliver measurable improvements in productivity, quality, release confidence, security posture, and development cycle time. * Create reusable AI assets, workflow patterns, and governance models that scale across teams and product lines. * Act as a technical multiplier who shapes the long-term evolution of AI-enabled embedded and software engineering across the organization. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. • 4+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Required Qualifications * Demonstrated Principal-level technical leadership, cross-team influence, architecture ownership, and organization-scale impact. * Deep expertise in Generative AI, AI/ML fundamentals, LLM-based systems, model/tool selection, evaluation, optimization, and practical application in engineering environments. * Hands-on experience building, deploying, or integrating GenAI solutions such as agentic workflows, RAG/context-aware systems, developer tools, automation frameworks, or AI-enabled engineering platforms. * Proven ability to lead large-scale technical transformation across teams, influence without authority, shape architecture, and drive adoption in complex engineering organizations. * Strong understanding of the SDLC, including requirements, design, implementation, code review, testing, CI/CD, release readiness, security...